研究生: |
鐘良軒 Liang-Xuan Zhong |
---|---|
論文名稱: |
遊戲精煉度理論對於麻將遊戲的應用與延伸:以陸麻血流系列麻將為例 An Application and Extension of Game Refinement Theory in Mahjong Games: A Case Study of Blood Series Mahjong |
指導教授: |
戴文凱
Wen-Kai Tai |
口試委員: |
吳怡樂
江佩穎 |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 資訊工程系 Department of Computer Science and Information Engineering |
論文出版年: | 2023 |
畢業學年度: | 112 |
語文別: | 中文 |
論文頁數: | 32 |
中文關鍵詞: | 遊戲精煉理論 、血流系列麻將 、遊戲體驗 、動態遊戲伺服器架構 |
外文關鍵詞: | Game Refinement Theory, Blood Series Mahjong, Gaming Experience, Dynamic Game Server Architecture |
相關次數: | 點閱:146 下載:1 |
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手機遊戲的普及和大陸麻將手遊的風靡為遊戲公司帶來了巨大的商機。為了在眾多競爭對手中脫穎而出,提供真人玩家優質的遊戲體驗成為各遊戲公司極為注重的核心焦點。
本論文的目標在於如何量化和提升真人玩家的遊戲體驗。我們通過結合數據分析、遊戲伺服器設計和模擬遊戲對局的方法,利用大量遊戲數據來分析和論證真人玩家的表現與遊戲精煉值之間的相關性,同時建立一個靈活的伺服器,以模擬多樣化的遊戲場景,最後通過調整發牌策略以提升遊戲體驗。
本論文運用遊戲精煉理論建立了一個量化血流麻將系列的遊戲體驗計算模型。同時,透過開發靈活的麻將遊戲伺服器架構,實現了一個可兼容多樣化陸麻遊戲玩法的後端系統。這個系統可以讓真人玩家、測試者以及 AI 之間進行遊戲對局。此外,本論文提出了一個模擬發牌模型,以提高真人玩家的遊戲體驗。我們希望這些成果能為後來者在
相關領域的研究提供啟發和貢獻。
The widespread popularity of mobile games and the craze for Mahjong mobile games in mainland China have presented significant business opportunities for gaming companies.
Standing out among numerous competitors and delivering a high-quality gaming experience for real players have become pivotal focuses for these companies. This paper aims to quantify and enhance the gaming experience for real players. Through a combination of data analysis, game server design, and simulated game sessions, leveraging extensive gaming data to analyze and demonstrate the correlation between real player performance
and game refinement values, and establishing a flexible server to simulate diverse gaming scenarios, the paper ultimately adjusts dealing strategies to elevate the gaming experience.
Utilizing the Game Refinement theory, the paper develops a quantitative model for calculating the gaming experience in the Blood Series Mahjong. Simultaneously, by developing an adaptable Mahjong game server architecture, the paper creates a backend system compatible with various Mahjong gameplay styles. This system allows real players, testers, and AI to engage in game sessions. Furthermore, the paper introduces a simulated
dealing model to enhance the gaming experience for real players. The outcomes of this research are expected to inspire and contribute to future studies in related fields.
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